This readme file was generated on 2025-12-22 by Sandra LudwigGENERAL INFORMATIONTitle of Dataset: How default risk shapes social choiceAuthor InformationName: Wolfgang H�chtlInstitution: Austrian National BankAddress: Otto-Wagner Platz 3, 1090 Vienna, Austria Email: Wolfgang.Hoechtl@oenb.atName: Rudolf KerschbamerInstitution: Innsbruck UniversityAddress: Universit�tsstrasse 15, 6020 Innsbruck, Austria Email: rudolf.kerschbamer@uibk.ac.atName: Philipp KircherInstitution: Cornell University Address: Ives Hall, 301 Tower Road, Ithaca, NY 14853, USAEmail: pk532@cornell.eduName: Sandra LudwigInstitution: Ulm UniversityAddress: Helmholtzstrasse 18, 89081 Ulm, GermanyEmail: Sandra.ludwig@uni-ulm.deName: Alvaro SandroniInstitution: Northwestern UniversityAddress: 001 Sheridan Road Evanston, IL 60208, USA,Email: sandroni@kellogg.northwestern.edu- Date of data collection: 2010- Geographic location of data collection: Innsbruck, Austria - Information about funding sources that supported the collection of the data: Financial support from the National Science Foundation, grant SES-0922404, and from the Austrian Science Foundation, grant P-22669 and special research area grants SFB F06305 and SFB F06306.SHARING/ACCESS INFORMATION- Paper that cites and uses the data: How default risk shapes social choiceDATA & FILE OVERVIEWFile List: Defaultdata.xlsxMETHODOLOGICAL INFORMATIONDescription of methods used for collection/generation of data: laboratory experiment, Paper �How default risk shapes social choice� describes the laboratory experimentMethods for processing the data:- Experiment conducted with z-tree, excel file from z-tree files (only data relevant for analysis included, dropped data contains no relevant information like page timers) - Experimental conditions: we vary between subjects whether it is a standard dictator game without default or a random dictator game with a probabilistic default where we vary the default and the probability of the default implementation. In addition, we vary whether choices are revealed or concealed.- data does not include passive receivers, as they did not not make any choice- People involved with sample collection, processing, analysis and/or submission: Wolfgang H�chtl, Rudolf Kerschbamer, Philipp Kircher, Sandra Ludwig, Alvaro SandroniDATA-SPECIFIC INFORMATION FOR: Defaultdata.xlsx - Number of variables: 17- Number of rows: 448- Variable List: * Sessioncode: ztree identifier for sessions* Session: sessions numbered consecutively (1-42)* nop_session: number of participants in session	(integer numbers)* default claim: denotes the treatments wrt. the generosity of the default or whether there is no default (1-4), 1 denotes standard dictator treatment without default, 2 denotes treatment Default-0 ( 10 for decider/selfish default), 3 denotes treatment Default-5, 4 denotes treatment Default-10 (0 for decider, generous default)* revealed: dummy indicating whether actions are revealed (=1) or concealed	* test_before: indicator whether EET before (=1) or after (=0) random dictator choice	* probability: indicates the probability of default implementation (0-3) where 0 means there is no default, 1 means 50%, 2 means 80%, 3 means 2%. 	* tmt_new: treatment identifier* Random: dummy indicating whether it is a random dictator game with probabilistic default (=1) or a standard dictator game without default (=0)* subject_id: subject identifier (1-447)* claim: the amount deciders claim for themselves (1-10)* giver: dummy indicating whether subject gives a positive amount (=1) or not (=0)	* exo_claim: denotes the exogenous claim implemented by the default (values 0, 5, 10, or blank), blank for standard dictator game as there is not default	* consistency: dummy indicating whether choices in EET are consistent (=1) or not(=0)* x: classification of x-dimension according to EET	* y: classification of x-dimension according to EET* Type: classification of type according to EET (range: 1-8)Deciders are classified as selfish if their type is equal to 1, 3, 5 or 7 and consistency=1.  